Overview

Brought to you by YData

Dataset statistics

Number of variables	37
Number of observations	894
Missing cells	15,342
Missing cells (%)	46.4%
Duplicate rows	3
Duplicate rows (%)	0.3%
Total size in memory	1.5 MiB
Average record size in memory	1.7 KiB

Variable types

Categorical	32
Boolean	1
Text	3
Unsupported	1

Alerts

`felt_sympathetic_to_victims` has constant value "3.Undecided"	Constant
`impact_on_own_life` has constant value "3.Undecided"	Constant
`impact_on_society` has constant value "3.Undecided"	Constant
Dataset has 3 (0.3%) duplicate rows	Duplicates
`experienced_activity_feeling` is highly overall correlated with `felt_part_of_activity` and 2 other fields	High correlation
`felt_part_of_activity` is highly overall correlated with `experienced_activity_feeling` and 3 other fields	High correlation
`gender_identity` is highly overall correlated with `personal_connection_details`	High correlation
`involvement_over_irrelevant_thoughts` is highly overall correlated with `experienced_activity_feeling` and 4 other fields	High correlation
`knowledge_bergen_belsen` is highly overall correlated with `knowledge_other_persecuted_groups` and 1 other fields	High correlation
`knowledge_other_persecuted_groups` is highly overall correlated with `knowledge_bergen_belsen` and 2 other fields	High correlation
`knowledge_persecuted_jews` is highly overall correlated with `knowledge_other_persecuted_groups` and 2 other fields	High correlation
`knowledge_ww2` is highly overall correlated with `knowledge_bergen_belsen` and 2 other fields	High correlation
`left_weak_impression` is highly overall correlated with `thought_innovative` and 1 other fields	High correlation
`lost_track_of_time` is highly overall correlated with `experienced_activity_feeling` and 5 other fields	High correlation
`nationality` is highly overall correlated with `personal_connection_nazi_history`	High correlation
`personal_connection_details` is highly overall correlated with `gender_identity` and 3 other fields	High correlation
`personal_connection_nazi_history` is highly overall correlated with `nationality` and 1 other fields	High correlation
`plan_to_learn_more` is highly overall correlated with `involvement_over_irrelevant_thoughts` and 3 other fields	High correlation
`thought_innovative` is highly overall correlated with `left_weak_impression` and 2 other fields	High correlation
`understood_camp_appearance` is highly overall correlated with `understood_camp_function` and 1 other fields	High correlation
`understood_camp_function` is highly overall correlated with `understood_camp_appearance` and 1 other fields	High correlation
`understood_life_in_camp` is highly overall correlated with `understood_camp_appearance` and 1 other fields	High correlation
`visit_purpose` is highly overall correlated with `felt_part_of_activity`	High correlation
`want_to_share_learning` is highly overall correlated with `involvement_over_irrelevant_thoughts` and 3 other fields	High correlation
`was_boring` is highly overall correlated with `left_weak_impression` and 1 other fields	High correlation
`was_interesting` is highly overall correlated with `plan_to_learn_more` and 2 other fields	High correlation
`nationality` is highly imbalanced (57.1%)	Imbalance
`political_identity` is highly imbalanced (68.7%)	Imbalance
`knowledge_ww2` is highly imbalanced (66.3%)	Imbalance
`knowledge_bergen_belsen` is highly imbalanced (67.5%)	Imbalance
`knowledge_persecuted_jews` is highly imbalanced (67.1%)	Imbalance
`knowledge_other_persecuted_groups` is highly imbalanced (69.1%)	Imbalance
`videogame_frequency` is highly imbalanced (81.1%)	Imbalance
`felt_part_of_activity` is highly imbalanced (94.2%)	Imbalance
`involvement_over_irrelevant_thoughts` is highly imbalanced (95.4%)	Imbalance
`experienced_activity_feeling` is highly imbalanced (94.8%)	Imbalance
`lost_track_of_time` is highly imbalanced (96.9%)	Imbalance
`was_interesting` is highly imbalanced (95.3%)	Imbalance
`left_weak_impression` is highly imbalanced (96.5%)	Imbalance
`was_boring` is highly imbalanced (94.3%)	Imbalance
`thought_innovative` is highly imbalanced (96.5%)	Imbalance
`understood_camp_appearance` is highly imbalanced (94.3%)	Imbalance
`understood_life_in_camp` is highly imbalanced (95.2%)	Imbalance
`understood_camp_function` is highly imbalanced (94.3%)	Imbalance
`want_to_share_learning` is highly imbalanced (90.0%)	Imbalance
`plan_to_learn_more` is highly imbalanced (90.8%)	Imbalance
`nationality` has 749 (83.8%) missing values	Missing
`gender_identity` has 727 (81.3%) missing values	Missing
`age` has 725 (81.1%) missing values	Missing
`education_level` has 742 (83.0%) missing values	Missing
`visit_type` has 735 (82.2%) missing values	Missing
`visit_purpose` has 745 (83.3%) missing values	Missing
`religious` has 739 (82.7%) missing values	Missing
`political_identity` has 148 (16.6%) missing values	Missing
`visited_memorial_before` has 746 (83.4%) missing values	Missing
`personal_connection_nazi_history` has 742 (83.0%) missing values	Missing
`personal_connection_details` has 865 (96.8%) missing values	Missing
`knowledge_ww2` has 148 (16.6%) missing values	Missing
`knowledge_bergen_belsen` has 149 (16.7%) missing values	Missing
`knowledge_persecuted_jews` has 150 (16.8%) missing values	Missing
`knowledge_other_persecuted_groups` has 150 (16.8%) missing values	Missing
`known_persecuted_groups_open` has 827 (92.5%) missing values	Missing
`technologies_used` has 816 (91.3%) missing values	Missing
`felt_part_of_activity` has 172 (19.2%) missing values	Missing
`involvement_over_irrelevant_thoughts` has 173 (19.4%) missing values	Missing
`experienced_activity_feeling` has 172 (19.2%) missing values	Missing
`lost_track_of_time` has 172 (19.2%) missing values	Missing
`was_interesting` has 174 (19.5%) missing values	Missing
`left_weak_impression` has 174 (19.5%) missing values	Missing
`was_boring` has 174 (19.5%) missing values	Missing
`thought_innovative` has 174 (19.5%) missing values	Missing
`understood_camp_appearance` has 173 (19.4%) missing values	Missing
`understood_life_in_camp` has 173 (19.4%) missing values	Missing
`understood_camp_function` has 173 (19.4%) missing values	Missing
`felt_sympathetic_to_victims` has 175 (19.6%) missing values	Missing
`impact_on_own_life` has 175 (19.6%) missing values	Missing
`impact_on_society` has 175 (19.6%) missing values	Missing
`impact_society_details` has 894 (100.0%) missing values	Missing
`want_to_share_learning` has 169 (18.9%) missing values	Missing
`plan_to_learn_more` has 169 (18.9%) missing values	Missing
`additional_feedback` has 891 (99.7%) missing values	Missing
`email` has 887 (99.2%) missing values	Missing
`impact_society_details` is an unsupported type, check if it needs cleaning or further analysis	Unsupported

Reproduction

Analysis started	2025-05-15 15:49:52.938677
Analysis finished	2025-05-15 15:49:59.628225
Duration	6.69 seconds
Software version	ydata-profiling vv4.16.1
Download configuration	config.json

nationality
Categorical

High correlation Imbalance Missing

Distinct	26
Distinct (%)	17.9%
Missing	749
Missing (%)	83.8%
Memory size	55.9 KiB

Germany	106
United Kingdom	5
Netherlands	4
Turkey	3
Spam	3
Other values (21)	24

Length

Max length	14
Median length	7
Mean length	7.2758621
Min length	4

Characters and Unicode

Total characters	1,055
Distinct characters	40
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	19 ?
Unique (%)	13.1%

Sample

1st row	Germany
2nd row	Poland
3rd row	Spam
4th row	Ireland
5th row	Germany

Common Values

Value	Count	Frequency (%)
Germany	106	11.9%
United Kingdom	5	0.6%
Netherlands	4	0.4%
Turkey	3	0.3%
Spam	3	0.3%
Poland	3	0.3%
France	2	0.2%
Iran	1	0.1%
Mexico	1	0.1%
Ireland	1	0.1%
Other values (16)	16	1.8%
(Missing)	749	83.8%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
germany	106	69.7%
united	6	3.9%
kingdom	5	3.3%
netherlands	4	2.6%
turkey	3	2.0%
spam	3	2.0%
poland	3	2.0%
france	2	1.3%
iran	1	0.7%
mexico	1	0.7%
Other values (18)	18	11.8%

Most occurring characters

Value	Count	Frequency (%)
e	140	13.3%
n	137	13.0%
a	135	12.8%
r	126	11.9%
m	117	11.1%
y	109	10.3%
G	107	10.1%
i	20	1.9%
d	20	1.9%
t	14	1.3%
Other values (30)	130	12.3%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	1055	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
e	140	13.3%
n	137	13.0%
a	135	12.8%
r	126	11.9%
m	117	11.1%
y	109	10.3%
G	107	10.1%
i	20	1.9%
d	20	1.9%
t	14	1.3%
Other values (30)	130	12.3%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	1055	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
e	140	13.3%
n	137	13.0%
a	135	12.8%
r	126	11.9%
m	117	11.1%
y	109	10.3%
G	107	10.1%
i	20	1.9%
d	20	1.9%
t	14	1.3%
Other values (30)	130	12.3%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	1055	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
e	140	13.3%
n	137	13.0%
a	135	12.8%
r	126	11.9%
m	117	11.1%
y	109	10.3%
G	107	10.1%
i	20	1.9%
d	20	1.9%
t	14	1.3%
Other values (30)	130	12.3%

gender_identity
Categorical

High correlation Missing

Distinct	5
Distinct (%)	3.0%
Missing	727
Missing (%)	81.3%
Memory size	55.6 KiB

Female	79
Male	77
Spam	5
Prefer not to say	4
Other	2

Length

Max length	17
Median length	6
Mean length	5.2694611
Min length	4

Characters and Unicode

Total characters	880
Distinct characters	19
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Female
2nd row	Female
3rd row	Spam
4th row	Male
5th row	Male

Common Values

Value	Count	Frequency (%)
Female	79	8.8%
Male	77	8.6%
Spam	5	0.6%
Prefer not to say	4	0.4%
Other	2	0.2%
(Missing)	727	81.3%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
female	79	44.1%
male	77	43.0%
spam	5	2.8%
prefer	4	2.2%
not	4	2.2%
to	4	2.2%
say	4	2.2%
other	2	1.1%

Most occurring characters

Value	Count	Frequency (%)
e	245	27.8%
a	165	18.8%
l	156	17.7%
m	84	9.5%
F	79	9.0%
M	77	8.8%
	12	1.4%
t	10	1.1%
r	10	1.1%
o	8	0.9%
Other values (9)	34	3.9%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	880	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
e	245	27.8%
a	165	18.8%
l	156	17.7%
m	84	9.5%
F	79	9.0%
M	77	8.8%
	12	1.4%
t	10	1.1%
r	10	1.1%
o	8	0.9%
Other values (9)	34	3.9%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	880	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
e	245	27.8%
a	165	18.8%
l	156	17.7%
m	84	9.5%
F	79	9.0%
M	77	8.8%
	12	1.4%
t	10	1.1%
r	10	1.1%
o	8	0.9%
Other values (9)	34	3.9%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	880	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
e	245	27.8%
a	165	18.8%
l	156	17.7%
m	84	9.5%
F	79	9.0%
M	77	8.8%
	12	1.4%
t	10	1.1%
r	10	1.1%
o	8	0.9%
Other values (9)	34	3.9%

age
Categorical

Missing

Distinct	10
Distinct (%)	5.9%
Missing	725
Missing (%)	81.1%
Memory size	59.9 KiB

16–18	29
25–34	24
45–54	24
55–64	22
35–44	20
Other values (5)	50

Length

Max length	8
Median length	5
Mean length	5.1360947
Min length	3

Characters and Unicode

Total characters	868
Distinct characters	16
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	16–18
2nd row	85+
3rd row	16–18
4th row	85+
5th row	18–24

Common Values

Value	Count	Frequency (%)
16–18	29	3.2%
25–34	24	2.7%
45–54	24	2.7%
55–64	22	2.5%
35–44	20	2.2%
65–74	18	2.0%
Under 16	13	1.5%
18–24	9	1.0%
85+	8	0.9%
75–84	2	0.2%
(Missing)	725	81.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
16–18	29	15.9%
25–34	24	13.2%
45–54	24	13.2%
55–64	22	12.1%
35–44	20	11.0%
65–74	18	9.9%
under	13	7.1%
16	13	7.1%
18–24	9	4.9%
85	8	4.4%

Most occurring characters

Value	Count	Frequency (%)
5	164	18.9%
4	163	18.8%
–	148	17.1%
6	82	9.4%
1	80	9.2%
8	48	5.5%
3	44	5.1%
2	33	3.8%
7	20	2.3%
U	13	1.5%
Other values (6)	73	8.4%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	868	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
5	164	18.9%
4	163	18.8%
–	148	17.1%
6	82	9.4%
1	80	9.2%
8	48	5.5%
3	44	5.1%
2	33	3.8%
7	20	2.3%
U	13	1.5%
Other values (6)	73	8.4%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	868	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
5	164	18.9%
4	163	18.8%
–	148	17.1%
6	82	9.4%
1	80	9.2%
8	48	5.5%
3	44	5.1%
2	33	3.8%
7	20	2.3%
U	13	1.5%
Other values (6)	73	8.4%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	868	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
5	164	18.9%
4	163	18.8%
–	148	17.1%
6	82	9.4%
1	80	9.2%
8	48	5.5%
3	44	5.1%
2	33	3.8%
7	20	2.3%
U	13	1.5%
Other values (6)	73	8.4%

education_level
Categorical

Missing

Distinct	6
Distinct (%)	3.9%
Missing	742
Missing (%)	83.0%
Memory size	57.9 KiB

Vocational training or apprenticeship	44
High school	34
Bachelor's degree	23
Secondary school	23
Master's degree	22

Length

Max length	37
Median length	17
Mean length	20.690789
Min length	9

Characters and Unicode

Total characters	3,145
Distinct characters	23
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Secondary school
2nd row	Secondary school
3rd row	Doctorate
4th row	Secondary school
5th row	Bachelor's degree

Common Values

Value	Count	Frequency (%)
Vocational training or apprenticeship	44	4.9%
High school	34	3.8%
Bachelor's degree	23	2.6%
Secondary school	23	2.6%
Master's degree	22	2.5%
Doctorate	6	0.7%
(Missing)	742	83.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
school	57	14.8%
degree	45	11.7%
vocational	44	11.4%
or	44	11.4%
training	44	11.4%
apprenticeship	44	11.4%
high	34	8.8%
bachelor's	23	6.0%
secondary	23	6.0%
master's	22	5.7%

Most occurring characters

Value	Count	Frequency (%)
o	304	9.7%
e	297	9.4%
i	254	8.1%
r	251	8.0%
a	250	7.9%
	234	7.4%
n	199	6.3%
c	197	6.3%
s	168	5.3%
t	166	5.3%
Other values (13)	825	26.2%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	3145	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
o	304	9.7%
e	297	9.4%
i	254	8.1%
r	251	8.0%
a	250	7.9%
	234	7.4%
n	199	6.3%
c	197	6.3%
s	168	5.3%
t	166	5.3%
Other values (13)	825	26.2%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	3145	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
o	304	9.7%
e	297	9.4%
i	254	8.1%
r	251	8.0%
a	250	7.9%
	234	7.4%
n	199	6.3%
c	197	6.3%
s	168	5.3%
t	166	5.3%
Other values (13)	825	26.2%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	3145	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
o	304	9.7%
e	297	9.4%
i	254	8.1%
r	251	8.0%
a	250	7.9%
	234	7.4%
n	199	6.3%
c	197	6.3%
s	168	5.3%
t	166	5.3%
Other values (13)	825	26.2%

visit_type
Categorical

Missing

Distinct	7
Distinct (%)	4.4%
Missing	735
Missing (%)	82.2%
Memory size	58.1 KiB

As an adult with other adults	60
As a student with my group	39
Alone	29
As an adult with children	17
Other	10
Other values (2)	4

Length

Max length	29
Median length	26
Mean length	21.446541
Min length	4

Characters and Unicode

Total characters	3,410
Distinct characters	23
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	0.6%

Sample

1st row	As a student with my group
2nd row	Alone
3rd row	As a student with my group
4th row	As an adult with other adults
5th row	As an adult with children

Common Values

Value	Count	Frequency (%)
As an adult with other adults	60	6.7%
As a student with my group	39	4.4%
Alone	29	3.2%
As an adult with children	17	1.9%
Other	10	1.1%
Spam	3	0.3%
As a kid with my parents	1	0.1%
(Missing)	735	82.2%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
as	117	16.1%
with	117	16.1%
an	77	10.6%
adult	77	10.6%
other	70	9.6%
adults	60	8.3%
a	40	5.5%
my	40	5.5%
student	39	5.4%
group	39	5.4%
Other values (5)	51	7.0%

Most occurring characters

Value	Count	Frequency (%)
	568	16.7%
t	403	11.8%
a	258	7.6%
s	217	6.4%
u	215	6.3%
h	204	6.0%
d	194	5.7%
l	183	5.4%
n	163	4.8%
e	156	4.6%
Other values (13)	849	24.9%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	3410	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
	568	16.7%
t	403	11.8%
a	258	7.6%
s	217	6.4%
u	215	6.3%
h	204	6.0%
d	194	5.7%
l	183	5.4%
n	163	4.8%
e	156	4.6%
Other values (13)	849	24.9%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	3410	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
	568	16.7%
t	403	11.8%
a	258	7.6%
s	217	6.4%
u	215	6.3%
h	204	6.0%
d	194	5.7%
l	183	5.4%
n	163	4.8%
e	156	4.6%
Other values (13)	849	24.9%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	3410	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
	568	16.7%
t	403	11.8%
a	258	7.6%
s	217	6.4%
u	215	6.3%
h	204	6.0%
d	194	5.7%
l	183	5.4%
n	163	4.8%
e	156	4.6%
Other values (13)	849	24.9%

visit_purpose
Categorical

High correlation Missing

Distinct	13
Distinct (%)	8.7%
Missing	745
Missing (%)	83.3%
Memory size	59.4 KiB

To learn more about the history	86
To learn more about the history__For commemoration	18
Other	15
For commemoration	14
To learn more about the history__For commemoration__For research	4
Other values (8)	12

Length

Max length	71
Median length	31
Mean length	30.899329
Min length	5

Characters and Unicode

Total characters	4,604
Distinct characters	20
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	5 ?
Unique (%)	3.4%

Sample

1st row	To learn more about the history
2nd row	Other
3rd row	To learn more about the history
4th row	To learn more about the history
5th row	To learn more about the history

Common Values

Value	Count	Frequency (%)
To learn more about the history	86	9.6%
To learn more about the history__For commemoration	18	2.0%
Other	15	1.7%
For commemoration	14	1.6%
To learn more about the history__For commemoration__For research	4	0.4%
To learn more about the history__For research	3	0.3%
To learn more about the history__Other	2	0.2%
For research	2	0.2%
For commemoration_For research	1	0.1%
To learn more about the history__For commemoration__For research__Other	1	0.1%
Other values (3)	3	0.3%
(Missing)	745	83.3%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
to	116	14.9%
learn	116	14.9%
more	116	14.9%
about	116	14.9%
the	116	14.9%
history	86	11.0%
commemoration	32	4.1%
history__for	28	3.6%
for	18	2.3%
other	15	1.9%
Other values (6)	22	2.8%

Most occurring characters

Value	Count	Frequency (%)
o	636	13.8%
	632	13.7%
r	485	10.5%
e	433	9.4%
t	409	8.9%
a	284	6.2%
h	265	5.8%
m	236	5.1%
i	156	3.4%
n	156	3.4%
Other values (10)	912	19.8%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	4604	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
o	636	13.8%
	632	13.7%
r	485	10.5%
e	433	9.4%
t	409	8.9%
a	284	6.2%
h	265	5.8%
m	236	5.1%
i	156	3.4%
n	156	3.4%
Other values (10)	912	19.8%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	4604	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
o	636	13.8%
	632	13.7%
r	485	10.5%
e	433	9.4%
t	409	8.9%
a	284	6.2%
h	265	5.8%
m	236	5.1%
i	156	3.4%
n	156	3.4%
Other values (10)	912	19.8%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	4604	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
o	636	13.8%
	632	13.7%
r	485	10.5%
e	433	9.4%
t	409	8.9%
a	284	6.2%
h	265	5.8%
m	236	5.1%
i	156	3.4%
n	156	3.4%
Other values (10)	912	19.8%

religious
Categorical

Missing

Distinct	3
Distinct (%)	1.9%
Missing	739
Missing (%)	82.7%
Memory size	55.4 KiB

Yes	68
No	64
I don't know	23

Length

Max length	12
Median length	3
Mean length	3.9225806
Min length	2

Characters and Unicode

Total characters	608
Distinct characters	13
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	No
2nd row	Yes
3rd row	I don't know
4th row	I don't know
5th row	Yes

Common Values

Value	Count	Frequency (%)
Yes	68	7.6%
No	64	7.2%
I don't know	23	2.6%
(Missing)	739	82.7%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
yes	68	33.8%
no	64	31.8%
i	23	11.4%
don't	23	11.4%
know	23	11.4%

Most occurring characters

Value	Count	Frequency (%)
o	110	18.1%
Y	68	11.2%
e	68	11.2%
s	68	11.2%
N	64	10.5%
	46	7.6%
n	46	7.6%
I	23	3.8%
d	23	3.8%
'	23	3.8%
Other values (3)	69	11.3%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	608	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
o	110	18.1%
Y	68	11.2%
e	68	11.2%
s	68	11.2%
N	64	10.5%
	46	7.6%
n	46	7.6%
I	23	3.8%
d	23	3.8%
'	23	3.8%
Other values (3)	69	11.3%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	608	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
o	110	18.1%
Y	68	11.2%
e	68	11.2%
s	68	11.2%
N	64	10.5%
	46	7.6%
n	46	7.6%
I	23	3.8%
d	23	3.8%
'	23	3.8%
Other values (3)	69	11.3%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	608	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
o	110	18.1%
Y	68	11.2%
e	68	11.2%
s	68	11.2%
N	64	10.5%
	46	7.6%
n	46	7.6%
I	23	3.8%
d	23	3.8%
'	23	3.8%
Other values (3)	69	11.3%

political_identity
Categorical

Imbalance Missing

Distinct	5
Distinct (%)	0.7%
Missing	148
Missing (%)	16.6%
Memory size	57.1 KiB

3.Centre	659
2.Left of centre	44
5.Far right	17
1.Far left	15
4.Right of centre	11

Length

Max length	17
Median length	8
Mean length	8.7131367
Min length	8

Characters and Unicode

Total characters	6,500
Distinct characters	23
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	3.Centre
2nd row	3.Centre
3rd row	3.Centre
4th row	3.Centre
5th row	3.Centre

Common Values

Value	Count	Frequency (%)
3.Centre	659	73.7%
2.Left of centre	44	4.9%
5.Far right	17	1.9%
1.Far left	15	1.7%
4.Right of centre	11	1.2%
(Missing)	148	16.6%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
3.centre	659	74.2%
of	55	6.2%
centre	55	6.2%
2.left	44	5.0%
5.far	17	1.9%
right	17	1.9%
1.far	15	1.7%
left	15	1.7%
4.right	11	1.2%

Most occurring characters

Value	Count	Frequency (%)
e	1487	22.9%
t	801	12.3%
r	763	11.7%
.	746	11.5%
n	714	11.0%
C	659	10.1%
3	659	10.1%
	142	2.2%
f	114	1.8%
c	55	0.8%
Other values (13)	360	5.5%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	6500	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
e	1487	22.9%
t	801	12.3%
r	763	11.7%
.	746	11.5%
n	714	11.0%
C	659	10.1%
3	659	10.1%
	142	2.2%
f	114	1.8%
c	55	0.8%
Other values (13)	360	5.5%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	6500	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
e	1487	22.9%
t	801	12.3%
r	763	11.7%
.	746	11.5%
n	714	11.0%
C	659	10.1%
3	659	10.1%
	142	2.2%
f	114	1.8%
c	55	0.8%
Other values (13)	360	5.5%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	6500	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
e	1487	22.9%
t	801	12.3%
r	763	11.7%
.	746	11.5%
n	714	11.0%
C	659	10.1%
3	659	10.1%
	142	2.2%
f	114	1.8%
c	55	0.8%
Other values (13)	360	5.5%

visited_memorial_before
Categorical

Missing

Distinct	3
Distinct (%)	2.0%
Missing	746
Missing (%)	83.4%
Memory size	56.9 KiB

No	55
Yes, more than once before	49
Yes, once before	44

Length

Max length	26
Median length	16
Mean length	14.108108
Min length	2

Characters and Unicode

Total characters	2,088
Distinct characters	16
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Yes, once before
2nd row	Yes, more than once before
3rd row	No
4th row	Yes, more than once before
5th row	Yes, once before

Common Values

Value	Count	Frequency (%)
No	55	6.2%
Yes, more than once before	49	5.5%
Yes, once before	44	4.9%
(Missing)	746	83.4%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
yes	93	21.5%
before	93	21.5%
once	93	21.5%
no	55	12.7%
than	49	11.3%
more	49	11.3%

Most occurring characters

Value	Count	Frequency (%)
e	421	20.2%
o	290	13.9%
	284	13.6%
r	142	6.8%
n	142	6.8%
s	93	4.5%
,	93	4.5%
Y	93	4.5%
f	93	4.5%
b	93	4.5%
Other values (6)	344	16.5%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	2088	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
e	421	20.2%
o	290	13.9%
	284	13.6%
r	142	6.8%
n	142	6.8%
s	93	4.5%
,	93	4.5%
Y	93	4.5%
f	93	4.5%
b	93	4.5%
Other values (6)	344	16.5%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	2088	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
e	421	20.2%
o	290	13.9%
	284	13.6%
r	142	6.8%
n	142	6.8%
s	93	4.5%
,	93	4.5%
Y	93	4.5%
f	93	4.5%
b	93	4.5%
Other values (6)	344	16.5%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	2088	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
e	421	20.2%
o	290	13.9%
	284	13.6%
r	142	6.8%
n	142	6.8%
s	93	4.5%
,	93	4.5%
Y	93	4.5%
f	93	4.5%
b	93	4.5%
Other values (6)	344	16.5%

personal_connection_nazi_history
Boolean

High correlation Missing

Distinct	2
Distinct (%)	1.3%
Missing	742
Missing (%)	83.0%
Memory size	8.7 KiB

False	120
True	32
(Missing)	742

Value	Count	Frequency (%)
False	120	13.4%
True	32	3.6%
(Missing)	742	83.0%

personal_connection_details
Categorical

High correlation Missing

Distinct	12
Distinct (%)	41.4%
Missing	865
Missing (%)	96.8%
Memory size	56.4 KiB

Relatives were persecuted	5
Prefer not to say	4
Other	4
Unspecified	3
Relatives were perpetrators	3
Other values (7)	10

Length

Max length	59
Median length	35
Mean length	24.275862
Min length	4

Characters and Unicode

Total characters	704
Distinct characters	30
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	4 ?
Unique (%)	13.8%

Sample

1st row	Prefer not to say
2nd row	I am a survivor of Nazi persecution
3rd row	Ancestors were displaced
4th row	Relatives were in the resistance
5th row	Relatives were perpetrators

Common Values

Value	Count	Frequency (%)
Relatives were persecuted	5	0.6%
Prefer not to say	4	0.4%
Other	4	0.4%
Unspecified	3	0.3%
Relatives were perpetrators	3	0.3%
Relatives were part of the allied forces	2	0.2%
I am a survivor of Nazi persecution	2	0.2%
Relatives were persecuted__Relatives were perpetrators	2	0.2%
Relatives were in the resistance	1	0.1%
Ancestors were displaced	1	0.1%
Other values (2)	2	0.2%
(Missing)	865	96.8%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
were	18	17.8%
relatives	14	13.9%
persecuted	5	5.0%
perpetrators	5	5.0%
prefer	4	4.0%
to	4	4.0%
not	4	4.0%
say	4	4.0%
other	4	4.0%
the	4	4.0%
Other values (17)	35	34.7%

Most occurring characters

Value	Count	Frequency (%)
e	140	19.9%
	72	10.2%
r	66	9.4%
t	58	8.2%
s	50	7.1%
a	40	5.7%
i	36	5.1%
p	27	3.8%
o	24	3.4%
l	22	3.1%
Other values (20)	169	24.0%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	704	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
e	140	19.9%
	72	10.2%
r	66	9.4%
t	58	8.2%
s	50	7.1%
a	40	5.7%
i	36	5.1%
p	27	3.8%
o	24	3.4%
l	22	3.1%
Other values (20)	169	24.0%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	704	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
e	140	19.9%
	72	10.2%
r	66	9.4%
t	58	8.2%
s	50	7.1%
a	40	5.7%
i	36	5.1%
p	27	3.8%
o	24	3.4%
l	22	3.1%
Other values (20)	169	24.0%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	704	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
e	140	19.9%
	72	10.2%
r	66	9.4%
t	58	8.2%
s	50	7.1%
a	40	5.7%
i	36	5.1%
p	27	3.8%
o	24	3.4%
l	22	3.1%
Other values (20)	169	24.0%

knowledge_ww2
Categorical

High correlation Imbalance Missing

Distinct	5
Distinct (%)	0.7%
Missing	148
Missing (%)	16.6%
Memory size	58.7 KiB

3.Somewhat	638
4.More than average	70
5.Very much	29
2.Very little	6
1.Not at all	3

Length

Max length	19
Median length	10
Mean length	10.91555
Min length	10

Characters and Unicode

Total characters	8,143
Distinct characters	27
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	3.Somewhat
2nd row	3.Somewhat
3rd row	3.Somewhat
4th row	3.Somewhat
5th row	3.Somewhat

Common Values

Value	Count	Frequency (%)
3.Somewhat	638	71.4%
4.More than average	70	7.8%
5.Very much	29	3.2%
2.Very little	6	0.7%
1.Not at all	3	0.3%
(Missing)	148	16.6%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
3.somewhat	638	68.8%
4.more	70	7.6%
than	70	7.6%
average	70	7.6%
5.very	29	3.1%
much	29	3.1%
2.very	6	0.6%
little	6	0.6%
1.not	3	0.3%
at	3	0.3%

Most occurring characters

Value	Count	Frequency (%)
e	889	10.9%
a	854	10.5%
.	746	9.2%
h	737	9.1%
t	726	8.9%
o	711	8.7%
m	667	8.2%
S	638	7.8%
3	638	7.8%
w	638	7.8%
Other values (17)	899	11.0%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	8143	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
e	889	10.9%
a	854	10.5%
.	746	9.2%
h	737	9.1%
t	726	8.9%
o	711	8.7%
m	667	8.2%
S	638	7.8%
3	638	7.8%
w	638	7.8%
Other values (17)	899	11.0%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	8143	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
e	889	10.9%
a	854	10.5%
.	746	9.2%
h	737	9.1%
t	726	8.9%
o	711	8.7%
m	667	8.2%
S	638	7.8%
3	638	7.8%
w	638	7.8%
Other values (17)	899	11.0%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	8143	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
e	889	10.9%
a	854	10.5%
.	746	9.2%
h	737	9.1%
t	726	8.9%
o	711	8.7%
m	667	8.2%
S	638	7.8%
3	638	7.8%
w	638	7.8%
Other values (17)	899	11.0%

knowledge_bergen_belsen
Categorical

High correlation Imbalance Missing

Distinct	5
Distinct (%)	0.7%
Missing	149
Missing (%)	16.7%
Memory size	58.5 KiB

3.Somewhat	654
4.More than average	35
2.Very little	34
5.Very much	12
1.Not at all	10

Length

Max length	19
Median length	10
Mean length	10.602685
Min length	10

Characters and Unicode

Total characters	7,899
Distinct characters	27
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	3.Somewhat
2nd row	3.Somewhat
3rd row	3.Somewhat
4th row	3.Somewhat
5th row	3.Somewhat

Common Values

Value	Count	Frequency (%)
3.Somewhat	654	73.2%
4.More than average	35	3.9%
2.Very little	34	3.8%
5.Very much	12	1.3%
1.Not at all	10	1.1%
(Missing)	149	16.7%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
3.somewhat	654	74.2%
4.more	35	4.0%
than	35	4.0%
average	35	4.0%
2.very	34	3.9%
little	34	3.9%
5.very	12	1.4%
much	12	1.4%
1.not	10	1.1%
at	10	1.1%

Most occurring characters

Value	Count	Frequency (%)
e	839	10.6%
a	779	9.9%
t	777	9.8%
.	745	9.4%
h	701	8.9%
o	699	8.8%
m	666	8.4%
S	654	8.3%
3	654	8.3%
w	654	8.3%
Other values (17)	731	9.3%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	7899	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
e	839	10.6%
a	779	9.9%
t	777	9.8%
.	745	9.4%
h	701	8.9%
o	699	8.8%
m	666	8.4%
S	654	8.3%
3	654	8.3%
w	654	8.3%
Other values (17)	731	9.3%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	7899	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
e	839	10.6%
a	779	9.9%
t	777	9.8%
.	745	9.4%
h	701	8.9%
o	699	8.8%
m	666	8.4%
S	654	8.3%
3	654	8.3%
w	654	8.3%
Other values (17)	731	9.3%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	7899	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
e	839	10.6%
a	779	9.9%
t	777	9.8%
.	745	9.4%
h	701	8.9%
o	699	8.8%
m	666	8.4%
S	654	8.3%
3	654	8.3%
w	654	8.3%
Other values (17)	731	9.3%

knowledge_persecuted_jews
Categorical

High correlation Imbalance Missing

Distinct	5
Distinct (%)	0.7%
Missing	150
Missing (%)	16.8%
Memory size	58.7 KiB

3.Somewhat	640
4.More than average	63
5.Very much	34
2.Very little	5
1.Not at all	2

Length

Max length	19
Median length	10
Mean length	10.833333
Min length	10

Characters and Unicode

Total characters	8,060
Distinct characters	27
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	3.Somewhat
2nd row	3.Somewhat
3rd row	3.Somewhat
4th row	3.Somewhat
5th row	3.Somewhat

Common Values

Value	Count	Frequency (%)
3.Somewhat	640	71.6%
4.More than average	63	7.0%
5.Very much	34	3.8%
2.Very little	5	0.6%
1.Not at all	2	0.2%
(Missing)	150	16.8%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
3.somewhat	640	70.1%
4.more	63	6.9%
than	63	6.9%
average	63	6.9%
5.very	34	3.7%
much	34	3.7%
2.very	5	0.5%
little	5	0.5%
1.not	2	0.2%
at	2	0.2%

Most occurring characters

Value	Count	Frequency (%)
e	873	10.8%
a	833	10.3%
.	744	9.2%
h	737	9.1%
t	717	8.9%
o	705	8.7%
m	674	8.4%
S	640	7.9%
3	640	7.9%
w	640	7.9%
Other values (17)	857	10.6%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	8060	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
e	873	10.8%
a	833	10.3%
.	744	9.2%
h	737	9.1%
t	717	8.9%
o	705	8.7%
m	674	8.4%
S	640	7.9%
3	640	7.9%
w	640	7.9%
Other values (17)	857	10.6%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	8060	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
e	873	10.8%
a	833	10.3%
.	744	9.2%
h	737	9.1%
t	717	8.9%
o	705	8.7%
m	674	8.4%
S	640	7.9%
3	640	7.9%
w	640	7.9%
Other values (17)	857	10.6%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	8060	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
e	873	10.8%
a	833	10.3%
.	744	9.2%
h	737	9.1%
t	717	8.9%
o	705	8.7%
m	674	8.4%
S	640	7.9%
3	640	7.9%
w	640	7.9%
Other values (17)	857	10.6%

knowledge_other_persecuted_groups
Categorical

High correlation Imbalance Missing

Distinct	5
Distinct (%)	0.7%
Missing	150
Missing (%)	16.8%
Memory size	58.6 KiB

3.Somewhat	652
4.More than average	56
5.Very much	23
2.Very little	10
1.Not at all	3

Length

Max length	19
Median length	10
Mean length	10.75672
Min length	10

Characters and Unicode

Total characters	8,003
Distinct characters	27
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	3.Somewhat
2nd row	3.Somewhat
3rd row	3.Somewhat
4th row	3.Somewhat
5th row	3.Somewhat

Common Values

Value	Count	Frequency (%)
3.Somewhat	652	72.9%
4.More than average	56	6.3%
5.Very much	23	2.6%
2.Very little	10	1.1%
1.Not at all	3	0.3%
(Missing)	150	16.8%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
3.somewhat	652	72.8%
4.more	56	6.3%
than	56	6.3%
average	56	6.3%
5.very	23	2.6%
much	23	2.6%
2.very	10	1.1%
little	10	1.1%
1.not	3	0.3%
at	3	0.3%

Most occurring characters

Value	Count	Frequency (%)
e	863	10.8%
a	826	10.3%
.	744	9.3%
t	734	9.2%
h	731	9.1%
o	711	8.9%
m	675	8.4%
S	652	8.1%
3	652	8.1%
w	652	8.1%
Other values (17)	763	9.5%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	8003	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
e	863	10.8%
a	826	10.3%
.	744	9.3%
t	734	9.2%
h	731	9.1%
o	711	8.9%
m	675	8.4%
S	652	8.1%
3	652	8.1%
w	652	8.1%
Other values (17)	763	9.5%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	8003	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
e	863	10.8%
a	826	10.3%
.	744	9.3%
t	734	9.2%
h	731	9.1%
o	711	8.9%
m	675	8.4%
S	652	8.1%
3	652	8.1%
w	652	8.1%
Other values (17)	763	9.5%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	8003	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
e	863	10.8%
a	826	10.3%
.	744	9.3%
t	734	9.2%
h	731	9.1%
o	711	8.9%
m	675	8.4%
S	652	8.1%
3	652	8.1%
w	652	8.1%
Other values (17)	763	9.5%

known_persecuted_groups_open
Text

Missing

Distinct	49
Distinct (%)	73.1%
Missing	827
Missing (%)	92.5%
Memory size	38.5 KiB

Length

Max length	150
Median length	71
Mean length	37
Min length	2

Characters and Unicode

Total characters	2,479
Distinct characters	49
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	43 ?
Unique (%)	64.2%

Sample

1st row	Jews
2nd row	Sinti and Roma__Jews__Political opponents
3rd row	Sinti and Roma__Jews__Homosexuals__Disabled people
4th row	Other
5th row	SS

Value	Count	Frequency (%)
and	31	16.3%
people	14	7.4%
sinti	13	6.8%
ss	10	5.3%
opponents	8	4.2%
roma__disabled	7	3.7%
roma	6	3.2%
jews	4	2.1%
jews__homosexuals__sinti	4	2.1%
spam	3	1.6%
Other values (72)	90	47.4%

Most occurring characters

Value	Count	Frequency (%)
_	280	11.3%
s	221	8.9%
e	208	8.4%
o	198	8.0%
a	168	6.8%
i	157	6.3%
n	131	5.3%
l	130	5.2%
	124	5.0%
t	96	3.9%
Other values (39)	766	30.9%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	2479	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
_	280	11.3%
s	221	8.9%
e	208	8.4%
o	198	8.0%
a	168	6.8%
i	157	6.3%
n	131	5.3%
l	130	5.2%
	124	5.0%
t	96	3.9%
Other values (39)	766	30.9%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	2479	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
_	280	11.3%
s	221	8.9%
e	208	8.4%
o	198	8.0%
a	168	6.8%
i	157	6.3%
n	131	5.3%
l	130	5.2%
	124	5.0%
t	96	3.9%
Other values (39)	766	30.9%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	2479	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
_	280	11.3%
s	221	8.9%
e	208	8.4%
o	198	8.0%
a	168	6.8%
i	157	6.3%
n	131	5.3%
l	130	5.2%
	124	5.0%
t	96	3.9%
Other values (39)	766	30.9%

technologies_used
Categorical

Missing

Distinct	6
Distinct (%)	7.7%
Missing	816
Missing (%)	91.3%
Memory size	57.6 KiB

3D model viewer	26
Virtual Reality (VR)	18
Augmented Reality (AR)__Virtual Reality (VR)__3D model viewer	15
Virtual Reality (VR)__3D model viewer	10
Augmented Reality (AR)	7

Length

Max length	61
Median length	44
Mean length	29.192308
Min length	15

Characters and Unicode

Total characters	2,277
Distinct characters	24
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Virtual Reality (VR)
2nd row	3D model viewer
3rd row	3D model viewer
4th row	Virtual Reality (VR)
5th row	Virtual Reality (VR)__3D model viewer

Common Values

Value	Count	Frequency (%)
3D model viewer	26	2.9%
Virtual Reality (VR)	18	2.0%
Augmented Reality (AR)__Virtual Reality (VR)__3D model viewer	15	1.7%
Virtual Reality (VR)__3D model viewer	10	1.1%
Augmented Reality (AR)	7	0.8%
Augmented Reality (AR)__Virtual Reality (VR)	2	0.2%
(Missing)	816	91.3%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
reality	69	21.7%
model	51	16.0%
viewer	51	16.0%
virtual	28	8.8%
3d	26	8.2%
vr)__3d	25	7.9%
augmented	24	7.5%
vr	20	6.3%
ar)__virtual	17	5.3%
ar	7	2.2%

Most occurring characters

Value	Count	Frequency (%)
e	270	11.9%
	240	10.5%
l	165	7.2%
i	165	7.2%
t	138	6.1%
R	138	6.1%
a	114	5.0%
r	96	4.2%
V	90	4.0%
_	84	3.7%
Other values (14)	777	34.1%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	2277	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
e	270	11.9%
	240	10.5%
l	165	7.2%
i	165	7.2%
t	138	6.1%
R	138	6.1%
a	114	5.0%
r	96	4.2%
V	90	4.0%
_	84	3.7%
Other values (14)	777	34.1%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	2277	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
e	270	11.9%
	240	10.5%
l	165	7.2%
i	165	7.2%
t	138	6.1%
R	138	6.1%
a	114	5.0%
r	96	4.2%
V	90	4.0%
_	84	3.7%
Other values (14)	777	34.1%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	2277	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
e	270	11.9%
	240	10.5%
l	165	7.2%
i	165	7.2%
t	138	6.1%
R	138	6.1%
a	114	5.0%
r	96	4.2%
V	90	4.0%
_	84	3.7%
Other values (14)	777	34.1%

videogame_frequency
Categorical

Imbalance

Distinct	21
Distinct (%)	2.3%
Missing	0
Missing (%)	0.0%
Memory size	55.4 KiB

Invalid	801
0	34
1	10
10	8
2	7
Other values (16)	34

Length

Max length	7
Median length	7
Mean length	6.4127517
Min length	1

Characters and Unicode

Total characters	5,733
Distinct characters	21
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	8 ?
Unique (%)	0.9%

Sample

1st row	Invalid
2nd row	Invalid
3rd row	Invalid
4th row	Invalid
5th row	Invalid

Common Values

Value	Count	Frequency (%)
Invalid	801	89.6%
0	34	3.8%
1	10	1.1%
10	8	0.9%
2	7	0.8%
3	5	0.6%
20	5	0.6%
5	4	0.4%
4	3	0.3%
8	3	0.3%
Other values (11)	14	1.6%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
invalid	801	89.6%
0	34	3.8%
1	10	1.1%
10	8	0.9%
2	7	0.8%
3	5	0.6%
20	5	0.6%
5	4	0.4%
4	3	0.3%
8	3	0.3%
Other values (11)	14	1.6%

Most occurring characters

Value	Count	Frequency (%)
a	803	14.0%
I	801	14.0%
n	801	14.0%
v	801	14.0%
l	801	14.0%
i	801	14.0%
d	801	14.0%
0	52	0.9%
1	21	0.4%
2	15	0.3%
Other values (11)	36	0.6%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	5733	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
a	803	14.0%
I	801	14.0%
n	801	14.0%
v	801	14.0%
l	801	14.0%
i	801	14.0%
d	801	14.0%
0	52	0.9%
1	21	0.4%
2	15	0.3%
Other values (11)	36	0.6%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	5733	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
a	803	14.0%
I	801	14.0%
n	801	14.0%
v	801	14.0%
l	801	14.0%
i	801	14.0%
d	801	14.0%
0	52	0.9%
1	21	0.4%
2	15	0.3%
Other values (11)	36	0.6%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	5733	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
a	803	14.0%
I	801	14.0%
n	801	14.0%
v	801	14.0%
l	801	14.0%
i	801	14.0%
d	801	14.0%
0	52	0.9%
1	21	0.4%
2	15	0.3%
Other values (11)	36	0.6%

felt_part_of_activity
Categorical

High correlation Imbalance Missing

Distinct	4
Distinct (%)	0.6%
Missing	172
Missing (%)	19.2%
Memory size	58.7 KiB

3.Undecided	713
1.Strongly disagree	3
4.Agree	3
2.Disagree	3

Length

Max length	19
Median length	11
Mean length	11.012465
Min length	7

Characters and Unicode

Total characters	7,951
Distinct characters	23
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	3.Undecided
2nd row	3.Undecided
3rd row	3.Undecided
4th row	3.Undecided
5th row	3.Undecided

Common Values

Value	Count	Frequency (%)
3.Undecided	713	79.8%
1.Strongly disagree	3	0.3%
4.Agree	3	0.3%
2.Disagree	3	0.3%
(Missing)	172	19.2%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
3.undecided	713	98.3%
1.strongly	3	0.4%
disagree	3	0.4%
4.agree	3	0.4%
2.disagree	3	0.4%

Most occurring characters

Value	Count	Frequency (%)
d	2142	26.9%
e	1444	18.2%
.	722	9.1%
i	719	9.0%
n	716	9.0%
U	713	9.0%
3	713	9.0%
c	713	9.0%
r	12	0.2%
g	12	0.2%
Other values (13)	45	0.6%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	7951	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
d	2142	26.9%
e	1444	18.2%
.	722	9.1%
i	719	9.0%
n	716	9.0%
U	713	9.0%
3	713	9.0%
c	713	9.0%
r	12	0.2%
g	12	0.2%
Other values (13)	45	0.6%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	7951	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
d	2142	26.9%
e	1444	18.2%
.	722	9.1%
i	719	9.0%
n	716	9.0%
U	713	9.0%
3	713	9.0%
c	713	9.0%
r	12	0.2%
g	12	0.2%
Other values (13)	45	0.6%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	7951	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
d	2142	26.9%
e	1444	18.2%
.	722	9.1%
i	719	9.0%
n	716	9.0%
U	713	9.0%
3	713	9.0%
c	713	9.0%
r	12	0.2%
g	12	0.2%
Other values (13)	45	0.6%

involvement_over_irrelevant_thoughts
Categorical

High correlation Imbalance Missing

Distinct	4
Distinct (%)	0.6%
Missing	173
Missing (%)	19.4%
Memory size	58.7 KiB

3.Undecided	714
4.Agree	4
2.Disagree	2
1.Strongly disagree	1

Length

Max length	19
Median length	11
Mean length	10.98613
Min length	7

Characters and Unicode

Total characters	7,921
Distinct characters	23
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	0.1%

Sample

1st row	3.Undecided
2nd row	3.Undecided
3rd row	3.Undecided
4th row	3.Undecided
5th row	3.Undecided

Common Values

Value	Count	Frequency (%)
3.Undecided	714	79.9%
4.Agree	4	0.4%
2.Disagree	2	0.2%
1.Strongly disagree	1	0.1%
(Missing)	173	19.4%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
3.undecided	714	98.9%
4.agree	4	0.6%
2.disagree	2	0.3%
1.strongly	1	0.1%
disagree	1	0.1%

Most occurring characters

Value	Count	Frequency (%)
d	2143	27.1%
e	1442	18.2%
.	721	9.1%
i	717	9.1%
n	715	9.0%
U	714	9.0%
3	714	9.0%
c	714	9.0%
g	8	0.1%
r	8	0.1%
Other values (13)	25	0.3%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	7921	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
d	2143	27.1%
e	1442	18.2%
.	721	9.1%
i	717	9.1%
n	715	9.0%
U	714	9.0%
3	714	9.0%
c	714	9.0%
g	8	0.1%
r	8	0.1%
Other values (13)	25	0.3%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	7921	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
d	2143	27.1%
e	1442	18.2%
.	721	9.1%
i	717	9.1%
n	715	9.0%
U	714	9.0%
3	714	9.0%
c	714	9.0%
g	8	0.1%
r	8	0.1%
Other values (13)	25	0.3%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	7921	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
d	2143	27.1%
e	1442	18.2%
.	721	9.1%
i	717	9.1%
n	715	9.0%
U	714	9.0%
3	714	9.0%
c	714	9.0%
g	8	0.1%
r	8	0.1%
Other values (13)	25	0.3%

experienced_activity_feeling
Categorical

High correlation Imbalance Missing

Distinct	4
Distinct (%)	0.6%
Missing	172
Missing (%)	19.2%
Memory size	58.7 KiB

3.Undecided	714
2.Disagree	4
1.Strongly disagree	3
5.Strongly agree	1

Length

Max length	19
Median length	11
Mean length	11.034626
Min length	10

Characters and Unicode

Total characters	7,967
Distinct characters	22
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	0.1%

Sample

1st row	3.Undecided
2nd row	3.Undecided
3rd row	3.Undecided
4th row	3.Undecided
5th row	3.Undecided

Common Values

Value	Count	Frequency (%)
3.Undecided	714	79.9%
2.Disagree	4	0.4%
1.Strongly disagree	3	0.3%
5.Strongly agree	1	0.1%
(Missing)	172	19.2%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
3.undecided	714	98.3%
2.disagree	4	0.6%
1.strongly	3	0.4%
disagree	3	0.4%
5.strongly	1	0.1%
agree	1	0.1%

Most occurring characters

Value	Count	Frequency (%)
d	2145	26.9%
e	1444	18.1%
.	722	9.1%
i	721	9.0%
n	718	9.0%
3	714	9.0%
U	714	9.0%
c	714	9.0%
g	12	0.2%
r	12	0.2%
Other values (12)	51	0.6%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	7967	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
d	2145	26.9%
e	1444	18.1%
.	722	9.1%
i	721	9.0%
n	718	9.0%
3	714	9.0%
U	714	9.0%
c	714	9.0%
g	12	0.2%
r	12	0.2%
Other values (12)	51	0.6%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	7967	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
d	2145	26.9%
e	1444	18.1%
.	722	9.1%
i	721	9.0%
n	718	9.0%
3	714	9.0%
U	714	9.0%
c	714	9.0%
g	12	0.2%
r	12	0.2%
Other values (12)	51	0.6%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	7967	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
d	2145	26.9%
e	1444	18.1%
.	722	9.1%
i	721	9.0%
n	718	9.0%
3	714	9.0%
U	714	9.0%
c	714	9.0%
g	12	0.2%
r	12	0.2%
Other values (12)	51	0.6%

lost_track_of_time
Categorical

High correlation Imbalance Missing

Distinct	5
Distinct (%)	0.7%
Missing	172
Missing (%)	19.2%
Memory size	58.7 KiB

3.Undecided	717
2.Disagree	2
1.Strongly disagree	1
4.Agree	1
5.Strongly agree	1

Length

Max length	19
Median length	11
Mean length	11.009695
Min length	7

Characters and Unicode

Total characters	7,949
Distinct characters	24
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	3 ?
Unique (%)	0.4%

Sample

1st row	3.Undecided
2nd row	3.Undecided
3rd row	3.Undecided
4th row	3.Undecided
5th row	3.Undecided

Common Values

Value	Count	Frequency (%)
3.Undecided	717	80.2%
2.Disagree	2	0.2%
1.Strongly disagree	1	0.1%
4.Agree	1	0.1%
5.Strongly agree	1	0.1%
(Missing)	172	19.2%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
3.undecided	717	99.0%
2.disagree	2	0.3%
1.strongly	1	0.1%
disagree	1	0.1%
4.agree	1	0.1%
5.strongly	1	0.1%
agree	1	0.1%

Most occurring characters

Value	Count	Frequency (%)
d	2152	27.1%
e	1444	18.2%
.	722	9.1%
i	720	9.1%
n	719	9.0%
3	717	9.0%
U	717	9.0%
c	717	9.0%
r	7	0.1%
g	7	0.1%
Other values (14)	27	0.3%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	7949	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
d	2152	27.1%
e	1444	18.2%
.	722	9.1%
i	720	9.1%
n	719	9.0%
3	717	9.0%
U	717	9.0%
c	717	9.0%
r	7	0.1%
g	7	0.1%
Other values (14)	27	0.3%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	7949	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
d	2152	27.1%
e	1444	18.2%
.	722	9.1%
i	720	9.1%
n	719	9.0%
3	717	9.0%
U	717	9.0%
c	717	9.0%
r	7	0.1%
g	7	0.1%
Other values (14)	27	0.3%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	7949	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
d	2152	27.1%
e	1444	18.2%
.	722	9.1%
i	720	9.1%
n	719	9.0%
3	717	9.0%
U	717	9.0%
c	717	9.0%
r	7	0.1%
g	7	0.1%
Other values (14)	27	0.3%

was_interesting
Categorical

High correlation Imbalance Missing

Distinct	4
Distinct (%)	0.6%
Missing	174
Missing (%)	19.5%
Memory size	58.7 KiB

3.Undecided	713
5.Strongly agree	3
4.Agree	3
5.Totally agree	1

Length

Max length	16
Median length	11
Mean length	11.009722
Min length	7

Characters and Unicode

Total characters	7,927
Distinct characters	21
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	0.1%

Sample

1st row	3.Undecided
2nd row	3.Undecided
3rd row	3.Undecided
4th row	3.Undecided
5th row	3.Undecided

Common Values

Value	Count	Frequency (%)
3.Undecided	713	79.8%
5.Strongly agree	3	0.3%
4.Agree	3	0.3%
5.Totally agree	1	0.1%
(Missing)	174	19.5%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
3.undecided	713	98.5%
agree	4	0.6%
5.strongly	3	0.4%
4.agree	3	0.4%
5.totally	1	0.1%

Most occurring characters

Value	Count	Frequency (%)
d	2139	27.0%
e	1440	18.2%
.	720	9.1%
n	716	9.0%
3	713	9.0%
U	713	9.0%
c	713	9.0%
i	713	9.0%
r	10	0.1%
g	10	0.1%
Other values (11)	40	0.5%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	7927	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
d	2139	27.0%
e	1440	18.2%
.	720	9.1%
n	716	9.0%
3	713	9.0%
U	713	9.0%
c	713	9.0%
i	713	9.0%
r	10	0.1%
g	10	0.1%
Other values (11)	40	0.5%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	7927	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
d	2139	27.0%
e	1440	18.2%
.	720	9.1%
n	716	9.0%
3	713	9.0%
U	713	9.0%
c	713	9.0%
i	713	9.0%
r	10	0.1%
g	10	0.1%
Other values (11)	40	0.5%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	7927	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
d	2139	27.0%
e	1440	18.2%
.	720	9.1%
n	716	9.0%
3	713	9.0%
U	713	9.0%
c	713	9.0%
i	713	9.0%
r	10	0.1%
g	10	0.1%
Other values (11)	40	0.5%

left_weak_impression
Categorical

High correlation Imbalance Missing

Distinct	4
Distinct (%)	0.6%
Missing	174
Missing (%)	19.5%
Memory size	58.7 KiB

3.Undecided	715
2.Disagree	3
5.Strongly agree	1
1.Strongly disagree	1

Length

Max length	19
Median length	11
Mean length	11.013889
Min length	10

Characters and Unicode

Total characters	7,930
Distinct characters	22
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	2 ?
Unique (%)	0.3%

Sample

1st row	3.Undecided
2nd row	3.Undecided
3rd row	3.Undecided
4th row	3.Undecided
5th row	3.Undecided

Common Values

Value	Count	Frequency (%)
3.Undecided	715	80.0%
2.Disagree	3	0.3%
5.Strongly agree	1	0.1%
1.Strongly disagree	1	0.1%
(Missing)	174	19.5%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
3.undecided	715	99.0%
2.disagree	3	0.4%
5.strongly	1	0.1%
agree	1	0.1%
1.strongly	1	0.1%
disagree	1	0.1%

Most occurring characters

Value	Count	Frequency (%)
d	2146	27.1%
e	1440	18.2%
.	720	9.1%
i	719	9.1%
n	717	9.0%
3	715	9.0%
U	715	9.0%
c	715	9.0%
g	7	0.1%
r	7	0.1%
Other values (12)	29	0.4%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	7930	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
d	2146	27.1%
e	1440	18.2%
.	720	9.1%
i	719	9.1%
n	717	9.0%
3	715	9.0%
U	715	9.0%
c	715	9.0%
g	7	0.1%
r	7	0.1%
Other values (12)	29	0.4%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	7930	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
d	2146	27.1%
e	1440	18.2%
.	720	9.1%
i	719	9.1%
n	717	9.0%
3	715	9.0%
U	715	9.0%
c	715	9.0%
g	7	0.1%
r	7	0.1%
Other values (12)	29	0.4%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	7930	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
d	2146	27.1%
e	1440	18.2%
.	720	9.1%
i	719	9.1%
n	717	9.0%
3	715	9.0%
U	715	9.0%
c	715	9.0%
g	7	0.1%
r	7	0.1%
Other values (12)	29	0.4%

was_boring
Categorical

High correlation Imbalance Missing

Distinct	4
Distinct (%)	0.6%
Missing	174
Missing (%)	19.5%
Memory size	58.7 KiB

3.Undecided	711
1.Strongly disagree	5
2.Disagree	3
5.Strongly agree	1

Length

Max length	19
Median length	11
Mean length	11.058333
Min length	10

Characters and Unicode

Total characters	7,962
Distinct characters	22
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	0.1%

Sample

1st row	3.Undecided
2nd row	3.Undecided
3rd row	3.Undecided
4th row	3.Undecided
5th row	3.Undecided

Common Values

Value	Count	Frequency (%)
3.Undecided	711	79.5%
1.Strongly disagree	5	0.6%
2.Disagree	3	0.3%
5.Strongly agree	1	0.1%
(Missing)	174	19.5%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
3.undecided	711	97.9%
1.strongly	5	0.7%
disagree	5	0.7%
2.disagree	3	0.4%
5.strongly	1	0.1%
agree	1	0.1%

Most occurring characters

Value	Count	Frequency (%)
d	2138	26.9%
e	1440	18.1%
.	720	9.0%
i	719	9.0%
n	717	9.0%
3	711	8.9%
U	711	8.9%
c	711	8.9%
g	15	0.2%
r	15	0.2%
Other values (12)	65	0.8%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	7962	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
d	2138	26.9%
e	1440	18.1%
.	720	9.0%
i	719	9.0%
n	717	9.0%
3	711	8.9%
U	711	8.9%
c	711	8.9%
g	15	0.2%
r	15	0.2%
Other values (12)	65	0.8%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	7962	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
d	2138	26.9%
e	1440	18.1%
.	720	9.0%
i	719	9.0%
n	717	9.0%
3	711	8.9%
U	711	8.9%
c	711	8.9%
g	15	0.2%
r	15	0.2%
Other values (12)	65	0.8%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	7962	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
d	2138	26.9%
e	1440	18.1%
.	720	9.0%
i	719	9.0%
n	717	9.0%
3	711	8.9%
U	711	8.9%
c	711	8.9%
g	15	0.2%
r	15	0.2%
Other values (12)	65	0.8%

thought_innovative
Categorical

High correlation Imbalance Missing

Distinct	4
Distinct (%)	0.6%
Missing	174
Missing (%)	19.5%
Memory size	58.7 KiB

3.Undecided	715
5.Strongly agree	3
4.Agree	1
1.Strongly disagree	1

Length

Max length	19
Median length	11
Mean length	11.026389
Min length	7

Characters and Unicode

Total characters	7,939
Distinct characters	22
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	2 ?
Unique (%)	0.3%

Sample

1st row	3.Undecided
2nd row	3.Undecided
3rd row	3.Undecided
4th row	3.Undecided
5th row	3.Undecided

Common Values

Value	Count	Frequency (%)
3.Undecided	715	80.0%
5.Strongly agree	3	0.3%
4.Agree	1	0.1%
1.Strongly disagree	1	0.1%
(Missing)	174	19.5%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
3.undecided	715	98.8%
5.strongly	3	0.4%
agree	3	0.4%
4.agree	1	0.1%
1.strongly	1	0.1%
disagree	1	0.1%

Most occurring characters

Value	Count	Frequency (%)
d	2146	27.0%
e	1440	18.1%
.	720	9.1%
n	719	9.1%
i	716	9.0%
3	715	9.0%
U	715	9.0%
c	715	9.0%
g	9	0.1%
r	9	0.1%
Other values (12)	35	0.4%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	7939	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
d	2146	27.0%
e	1440	18.1%
.	720	9.1%
n	719	9.1%
i	716	9.0%
3	715	9.0%
U	715	9.0%
c	715	9.0%
g	9	0.1%
r	9	0.1%
Other values (12)	35	0.4%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	7939	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
d	2146	27.0%
e	1440	18.1%
.	720	9.1%
n	719	9.1%
i	716	9.0%
3	715	9.0%
U	715	9.0%
c	715	9.0%
g	9	0.1%
r	9	0.1%
Other values (12)	35	0.4%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	7939	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
d	2146	27.0%
e	1440	18.1%
.	720	9.1%
n	719	9.1%
i	716	9.0%
3	715	9.0%
U	715	9.0%
c	715	9.0%
g	9	0.1%
r	9	0.1%
Other values (12)	35	0.4%

understood_camp_appearance
Categorical

High correlation Imbalance Missing

Distinct	5
Distinct (%)	0.7%
Missing	173
Missing (%)	19.4%
Memory size	58.7 KiB

3.Undecided	711
4.Agree	4
2.Disagree	2
5.Strongly agree	2
5.Totally agree	2

Length

Max length	16
Median length	11
Mean length	11
Min length	7

Characters and Unicode

Total characters	7,931
Distinct characters	24
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	3.Undecided
2nd row	3.Undecided
3rd row	3.Undecided
4th row	3.Undecided
5th row	3.Undecided

Common Values

Value	Count	Frequency (%)
3.Undecided	711	79.5%
4.Agree	4	0.4%
2.Disagree	2	0.2%
5.Strongly agree	2	0.2%
5.Totally agree	2	0.2%
(Missing)	173	19.4%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
3.undecided	711	98.1%
4.agree	4	0.6%
agree	4	0.6%
2.disagree	2	0.3%
5.strongly	2	0.3%
5.totally	2	0.3%

Most occurring characters

Value	Count	Frequency (%)
d	2133	26.9%
e	1442	18.2%
.	721	9.1%
n	713	9.0%
i	713	9.0%
3	711	9.0%
U	711	9.0%
c	711	9.0%
r	12	0.2%
g	12	0.2%
Other values (14)	52	0.7%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	7931	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
d	2133	26.9%
e	1442	18.2%
.	721	9.1%
n	713	9.0%
i	713	9.0%
3	711	9.0%
U	711	9.0%
c	711	9.0%
r	12	0.2%
g	12	0.2%
Other values (14)	52	0.7%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	7931	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
d	2133	26.9%
e	1442	18.2%
.	721	9.1%
n	713	9.0%
i	713	9.0%
3	711	9.0%
U	711	9.0%
c	711	9.0%
r	12	0.2%
g	12	0.2%
Other values (14)	52	0.7%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	7931	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
d	2133	26.9%
e	1442	18.2%
.	721	9.1%
n	713	9.0%
i	713	9.0%
3	711	9.0%
U	711	9.0%
c	711	9.0%
r	12	0.2%
g	12	0.2%
Other values (14)	52	0.7%

understood_life_in_camp
Categorical

High correlation Imbalance Missing

Distinct	6
Distinct (%)	0.8%
Missing	173
Missing (%)	19.4%
Memory size	58.7 KiB

3.Undecided	712
2.Disagree	2
5.Strongly agree	2
4.Agree	2
5.Totally agree	2

Length

Max length	19
Median length	11
Mean length	11.022191
Min length	7

Characters and Unicode

Total characters	7,947
Distinct characters	25
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	0.1%

Sample

1st row	3.Undecided
2nd row	3.Undecided
3rd row	3.Undecided
4th row	3.Undecided
5th row	3.Undecided

Common Values

Value	Count	Frequency (%)
3.Undecided	712	79.6%
2.Disagree	2	0.2%
5.Strongly agree	2	0.2%
4.Agree	2	0.2%
5.Totally agree	2	0.2%
1.Strongly disagree	1	0.1%
(Missing)	173	19.4%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
3.undecided	712	98.1%
agree	4	0.6%
2.disagree	2	0.3%
5.strongly	2	0.3%
4.agree	2	0.3%
5.totally	2	0.3%
1.strongly	1	0.1%
disagree	1	0.1%

Most occurring characters

Value	Count	Frequency (%)
d	2137	26.9%
e	1442	18.1%
.	721	9.1%
i	715	9.0%
n	715	9.0%
3	712	9.0%
U	712	9.0%
c	712	9.0%
g	12	0.2%
r	12	0.2%
Other values (15)	57	0.7%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	7947	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
d	2137	26.9%
e	1442	18.1%
.	721	9.1%
i	715	9.0%
n	715	9.0%
3	712	9.0%
U	712	9.0%
c	712	9.0%
g	12	0.2%
r	12	0.2%
Other values (15)	57	0.7%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	7947	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
d	2137	26.9%
e	1442	18.1%
.	721	9.1%
i	715	9.0%
n	715	9.0%
3	712	9.0%
U	712	9.0%
c	712	9.0%
g	12	0.2%
r	12	0.2%
Other values (15)	57	0.7%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	7947	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
d	2137	26.9%
e	1442	18.1%
.	721	9.1%
i	715	9.0%
n	715	9.0%
3	712	9.0%
U	712	9.0%
c	712	9.0%
g	12	0.2%
r	12	0.2%
Other values (15)	57	0.7%

understood_camp_function
Categorical

High correlation Imbalance Missing

Distinct	5
Distinct (%)	0.7%
Missing	173
Missing (%)	19.4%
Memory size	58.7 KiB

3.Undecided	711
2.Disagree	3
4.Agree	3
5.Strongly agree	2
5.Totally agree	2

Length

Max length	16
Median length	11
Mean length	11.004161
Min length	7

Characters and Unicode

Total characters	7,934
Distinct characters	24
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	3.Undecided
2nd row	3.Undecided
3rd row	3.Undecided
4th row	3.Undecided
5th row	3.Undecided

Common Values

Value	Count	Frequency (%)
3.Undecided	711	79.5%
2.Disagree	3	0.3%
4.Agree	3	0.3%
5.Strongly agree	2	0.2%
5.Totally agree	2	0.2%
(Missing)	173	19.4%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
3.undecided	711	98.1%
agree	4	0.6%
2.disagree	3	0.4%
4.agree	3	0.4%
5.strongly	2	0.3%
5.totally	2	0.3%

Most occurring characters

Value	Count	Frequency (%)
d	2133	26.9%
e	1442	18.2%
.	721	9.1%
i	714	9.0%
n	713	9.0%
3	711	9.0%
U	711	9.0%
c	711	9.0%
r	12	0.2%
g	12	0.2%
Other values (14)	54	0.7%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	7934	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
d	2133	26.9%
e	1442	18.2%
.	721	9.1%
i	714	9.0%
n	713	9.0%
3	711	9.0%
U	711	9.0%
c	711	9.0%
r	12	0.2%
g	12	0.2%
Other values (14)	54	0.7%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	7934	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
d	2133	26.9%
e	1442	18.2%
.	721	9.1%
i	714	9.0%
n	713	9.0%
3	711	9.0%
U	711	9.0%
c	711	9.0%
r	12	0.2%
g	12	0.2%
Other values (14)	54	0.7%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	7934	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
d	2133	26.9%
e	1442	18.2%
.	721	9.1%
i	714	9.0%
n	713	9.0%
3	711	9.0%
U	711	9.0%
c	711	9.0%
r	12	0.2%
g	12	0.2%
Other values (14)	54	0.7%

felt_sympathetic_to_victims
Categorical

Constant Missing

Distinct	1
Distinct (%)	0.1%
Missing	175
Missing (%)	19.6%
Memory size	58.7 KiB

3.Undecided	719

Length

Max length	11
Median length	11
Mean length	11
Min length	11

Characters and Unicode

Total characters	7,909
Distinct characters	8
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	3.Undecided
2nd row	3.Undecided
3rd row	3.Undecided
4th row	3.Undecided
5th row	3.Undecided

Common Values

Value	Count	Frequency (%)
3.Undecided	719	80.4%
(Missing)	175	19.6%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
3.undecided	719	100.0%

Most occurring characters

Value	Count	Frequency (%)
d	2157	27.3%
e	1438	18.2%
3	719	9.1%
.	719	9.1%
n	719	9.1%
U	719	9.1%
c	719	9.1%
i	719	9.1%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	7909	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
d	2157	27.3%
e	1438	18.2%
3	719	9.1%
.	719	9.1%
n	719	9.1%
U	719	9.1%
c	719	9.1%
i	719	9.1%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	7909	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
d	2157	27.3%
e	1438	18.2%
3	719	9.1%
.	719	9.1%
n	719	9.1%
U	719	9.1%
c	719	9.1%
i	719	9.1%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	7909	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
d	2157	27.3%
e	1438	18.2%
3	719	9.1%
.	719	9.1%
n	719	9.1%
U	719	9.1%
c	719	9.1%
i	719	9.1%

impact_on_own_life
Categorical

Constant Missing

Distinct	1
Distinct (%)	0.1%
Missing	175
Missing (%)	19.6%
Memory size	58.7 KiB

3.Undecided	719

Length

Max length	11
Median length	11
Mean length	11
Min length	11

Characters and Unicode

Total characters	7,909
Distinct characters	8
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	3.Undecided
2nd row	3.Undecided
3rd row	3.Undecided
4th row	3.Undecided
5th row	3.Undecided

Common Values

Value	Count	Frequency (%)
3.Undecided	719	80.4%
(Missing)	175	19.6%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
3.undecided	719	100.0%

Most occurring characters

Value	Count	Frequency (%)
d	2157	27.3%
e	1438	18.2%
3	719	9.1%
.	719	9.1%
n	719	9.1%
U	719	9.1%
c	719	9.1%
i	719	9.1%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	7909	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
d	2157	27.3%
e	1438	18.2%
3	719	9.1%
.	719	9.1%
n	719	9.1%
U	719	9.1%
c	719	9.1%
i	719	9.1%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	7909	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
d	2157	27.3%
e	1438	18.2%
3	719	9.1%
.	719	9.1%
n	719	9.1%
U	719	9.1%
c	719	9.1%
i	719	9.1%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	7909	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
d	2157	27.3%
e	1438	18.2%
3	719	9.1%
.	719	9.1%
n	719	9.1%
U	719	9.1%
c	719	9.1%
i	719	9.1%

impact_on_society
Categorical

Constant Missing

Distinct	1
Distinct (%)	0.1%
Missing	175
Missing (%)	19.6%
Memory size	58.7 KiB

3.Undecided	719

Length

Max length	11
Median length	11
Mean length	11
Min length	11

Characters and Unicode

Total characters	7,909
Distinct characters	8
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	3.Undecided
2nd row	3.Undecided
3rd row	3.Undecided
4th row	3.Undecided
5th row	3.Undecided

Common Values

Value	Count	Frequency (%)
3.Undecided	719	80.4%
(Missing)	175	19.6%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
3.undecided	719	100.0%

Most occurring characters

Value	Count	Frequency (%)
d	2157	27.3%
e	1438	18.2%
3	719	9.1%
.	719	9.1%
n	719	9.1%
U	719	9.1%
c	719	9.1%
i	719	9.1%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	7909	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
d	2157	27.3%
e	1438	18.2%
3	719	9.1%
.	719	9.1%
n	719	9.1%
U	719	9.1%
c	719	9.1%
i	719	9.1%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	7909	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
d	2157	27.3%
e	1438	18.2%
3	719	9.1%
.	719	9.1%
n	719	9.1%
U	719	9.1%
c	719	9.1%
i	719	9.1%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	7909	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
d	2157	27.3%
e	1438	18.2%
3	719	9.1%
.	719	9.1%
n	719	9.1%
U	719	9.1%
c	719	9.1%
i	719	9.1%

impact_society_details
Unsupported

Missing Rejected Unsupported

Missing	894
Missing (%)	100.0%
Memory size	14.0 KiB

want_to_share_learning
Categorical

High correlation Imbalance Missing

Distinct	6
Distinct (%)	0.8%
Missing	169
Missing (%)	18.9%
Memory size	58.7 KiB

3.Undecided	702
4.Agree	11
5.Strongly agree	8
5.Totally agree	2
1.Strongly disagree	1

Length

Max length	19
Median length	11
Mean length	11.015172
Min length	7

Characters and Unicode

Total characters	7,986
Distinct characters	25
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	2 ?
Unique (%)	0.3%

Sample

1st row	3.Undecided
2nd row	3.Undecided
3rd row	3.Undecided
4th row	3.Undecided
5th row	3.Undecided

Common Values

Value	Count	Frequency (%)
3.Undecided	702	78.5%
4.Agree	11	1.2%
5.Strongly agree	8	0.9%
5.Totally agree	2	0.2%
1.Strongly disagree	1	0.1%
2.Disagree	1	0.1%
(Missing)	169	18.9%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
3.undecided	702	95.4%
4.agree	11	1.5%
agree	10	1.4%
5.strongly	8	1.1%
5.totally	2	0.3%
1.strongly	1	0.1%
disagree	1	0.1%
2.disagree	1	0.1%

Most occurring characters

Value	Count	Frequency (%)
d	2107	26.4%
e	1450	18.2%
.	725	9.1%
n	711	8.9%
i	704	8.8%
3	702	8.8%
U	702	8.8%
c	702	8.8%
g	32	0.4%
r	32	0.4%
Other values (15)	119	1.5%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	7986	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
d	2107	26.4%
e	1450	18.2%
.	725	9.1%
n	711	8.9%
i	704	8.8%
3	702	8.8%
U	702	8.8%
c	702	8.8%
g	32	0.4%
r	32	0.4%
Other values (15)	119	1.5%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	7986	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
d	2107	26.4%
e	1450	18.2%
.	725	9.1%
n	711	8.9%
i	704	8.8%
3	702	8.8%
U	702	8.8%
c	702	8.8%
g	32	0.4%
r	32	0.4%
Other values (15)	119	1.5%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	7986	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
d	2107	26.4%
e	1450	18.2%
.	725	9.1%
n	711	8.9%
i	704	8.8%
3	702	8.8%
U	702	8.8%
c	702	8.8%
g	32	0.4%
r	32	0.4%
Other values (15)	119	1.5%

plan_to_learn_more
Categorical

High correlation Imbalance Missing

Distinct	6
Distinct (%)	0.8%
Missing	169
Missing (%)	18.9%
Memory size	58.7 KiB

3.Undecided	705
4.Agree	7
5.Strongly agree	7
2.Disagree	2
1.Strongly disagree	2

Length

Max length	19
Median length	11
Mean length	11.04
Min length	7

Characters and Unicode

Total characters	8,004
Distinct characters	25
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	3.Undecided
2nd row	3.Undecided
3rd row	3.Undecided
4th row	3.Undecided
5th row	3.Undecided

Common Values

Value	Count	Frequency (%)
3.Undecided	705	78.9%
4.Agree	7	0.8%
5.Strongly agree	7	0.8%
2.Disagree	2	0.2%
1.Strongly disagree	2	0.2%
5.Totally agree	2	0.2%
(Missing)	169	18.9%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
3.undecided	705	95.8%
agree	9	1.2%
4.agree	7	1.0%
5.strongly	7	1.0%
2.disagree	2	0.3%
1.strongly	2	0.3%
disagree	2	0.3%
5.totally	2	0.3%

Most occurring characters

Value	Count	Frequency (%)
d	2117	26.4%
e	1450	18.1%
.	725	9.1%
n	714	8.9%
i	709	8.9%
3	705	8.8%
U	705	8.8%
c	705	8.8%
g	29	0.4%
r	29	0.4%
Other values (15)	116	1.4%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	8004	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
d	2117	26.4%
e	1450	18.1%
.	725	9.1%
n	714	8.9%
i	709	8.9%
3	705	8.8%
U	705	8.8%
c	705	8.8%
g	29	0.4%
r	29	0.4%
Other values (15)	116	1.4%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	8004	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
d	2117	26.4%
e	1450	18.1%
.	725	9.1%
n	714	8.9%
i	709	8.9%
3	705	8.8%
U	705	8.8%
c	705	8.8%
g	29	0.4%
r	29	0.4%
Other values (15)	116	1.4%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	8004	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
d	2117	26.4%
e	1450	18.1%
.	725	9.1%
n	714	8.9%
i	709	8.9%
3	705	8.8%
U	705	8.8%
c	705	8.8%
g	29	0.4%
r	29	0.4%
Other values (15)	116	1.4%

additional_feedback
Text

Missing

Distinct	3
Distinct (%)	100.0%
Missing	891
Missing (%)	99.7%
Memory size	35.0 KiB

Length

Max length	61
Median length	4
Mean length	23
Min length	4

Characters and Unicode

Total characters	69
Distinct characters	24
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	3 ?
Unique (%)	100.0%

Sample

1st row	Spam
2nd row	Usability comment: somewhat tricky to use, would retry online
3rd row	die

Value	Count	Frequency (%)
spam	1	9.1%
usability	1	9.1%
comment	1	9.1%
somewhat	1	9.1%
tricky	1	9.1%
to	1	9.1%
use	1	9.1%
would	1	9.1%
retry	1	9.1%
online	1	9.1%

Most occurring characters

Value	Count	Frequency (%)
	9	13.0%
t	6	8.7%
e	6	8.7%
i	5	7.2%
o	5	7.2%
m	4	5.8%
s	3	4.3%
a	3	4.3%
y	3	4.3%
l	3	4.3%
Other values (14)	22	31.9%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	69	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
	9	13.0%
t	6	8.7%
e	6	8.7%
i	5	7.2%
o	5	7.2%
m	4	5.8%
s	3	4.3%
a	3	4.3%
y	3	4.3%
l	3	4.3%
Other values (14)	22	31.9%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	69	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
	9	13.0%
t	6	8.7%
e	6	8.7%
i	5	7.2%
o	5	7.2%
m	4	5.8%
s	3	4.3%
a	3	4.3%
y	3	4.3%
l	3	4.3%
Other values (14)	22	31.9%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	69	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
	9	13.0%
t	6	8.7%
e	6	8.7%
i	5	7.2%
o	5	7.2%
m	4	5.8%
s	3	4.3%
a	3	4.3%
y	3	4.3%
l	3	4.3%
Other values (14)	22	31.9%

email
Text

Missing

Distinct	7
Distinct (%)	100.0%
Missing	887
Missing (%)	99.2%
Memory size	35.2 KiB

Length

Max length	30
Median length	21
Mean length	19.714286
Min length	5

Characters and Unicode

Total characters	138
Distinct characters	29
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	7 ?
Unique (%)	100.0%

Sample

1st row	parrier@gmail.com
2nd row	bambusapfel@gmail.com
3rd row	kayleemsrielshmar205@gmail.com
4th row	Wer@gy-her.de
5th row	michel.bonkowski@ewe.net

Value	Count	Frequency (%)
parrier@gmail.com	1	14.3%
bambusapfel@gmail.com	1	14.3%
kayleemsrielshmar205@gmail.com	1	14.3%
wer@gy-her.de	1	14.3%
michel.bonkowski@ewe.net	1	14.3%
mariazaharia2002@yahoo.co.uk	1	14.3%
roger	1	14.3%

Most occurring characters

Value	Count	Frequency (%)
a	14	10.1%
e	13	9.4%
r	11	8.0%
m	11	8.0%
i	9	6.5%
o	9	6.5%
.	8	5.8%
l	7	5.1%
@	6	4.3%
c	5	3.6%
Other values (19)	45	32.6%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	138	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
a	14	10.1%
e	13	9.4%
r	11	8.0%
m	11	8.0%
i	9	6.5%
o	9	6.5%
.	8	5.8%
l	7	5.1%
@	6	4.3%
c	5	3.6%
Other values (19)	45	32.6%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	138	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
a	14	10.1%
e	13	9.4%
r	11	8.0%
m	11	8.0%
i	9	6.5%
o	9	6.5%
.	8	5.8%
l	7	5.1%
@	6	4.3%
c	5	3.6%
Other values (19)	45	32.6%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	138	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
a	14	10.1%
e	13	9.4%
r	11	8.0%
m	11	8.0%
i	9	6.5%
o	9	6.5%
.	8	5.8%
l	7	5.1%
@	6	4.3%
c	5	3.6%
Other values (19)	45	32.6%

Correlations

	age	education_level	experienced_activity_feeling	felt_part_of_activity	gender_identity	involvement_over_irrelevant_thoughts	knowledge_bergen_belsen	knowledge_other_persecuted_groups	knowledge_persecuted_jews	knowledge_ww2	left_weak_impression	lost_track_of_time	nationality	personal_connection_details	personal_connection_nazi_history	plan_to_learn_more	political_identity	religious	technologies_used	thought_innovative	understood_camp_appearance	understood_camp_function	understood_life_in_camp	videogame_frequency	visit_purpose	visit_type	visited_memorial_before	want_to_share_learning	was_boring	was_interesting
age	1.000	0.409	0.067	0.000	0.364	0.000	0.189	0.013	0.000	0.108	0.104	0.000	0.170	0.299	0.236	0.316	0.173	0.248	0.213	0.000	0.338	0.353	0.334	0.154	0.064	0.434	0.277	0.298	0.182	0.000
education_level	0.409	1.000	0.098	0.086	0.263	0.193	0.132	0.000	0.077	0.143	0.000	0.263	0.356	0.305	0.253	0.093	0.166	0.247	0.000	0.122	0.000	0.000	0.000	0.121	0.000	0.280	0.238	0.132	0.000	0.130
experienced_activity_feeling	0.067	0.098	1.000	0.613	0.000	0.782	0.221	0.142	0.219	0.152	0.000	0.831	0.000	0.000	0.000	0.437	0.213	0.000	0.000	0.000	0.000	0.000	0.000	0.318	0.000	0.000	0.109	0.450	0.000	0.000
felt_part_of_activity	0.000	0.086	0.613	1.000	0.000	0.621	0.218	0.139	0.131	0.152	0.000	0.663	0.000	0.374	0.000	0.490	0.174	0.020	0.000	0.000	0.000	0.000	0.000	0.417	0.508	0.000	0.116	0.444	0.000	0.000
gender_identity	0.364	0.263	0.000	0.000	1.000	0.000	0.172	0.125	0.089	0.143	0.000	0.000	0.499	0.607	0.031	0.000	0.251	0.259	0.000	0.000	0.000	0.000	0.000	0.247	0.324	0.334	0.000	0.000	0.000	0.000
involvement_over_irrelevant_thoughts	0.000	0.193	0.782	0.621	0.000	1.000	0.261	0.112	0.155	0.120	0.000	0.734	0.000	0.000	0.000	0.507	0.261	0.000	0.000	0.000	0.000	0.000	0.000	0.271	0.099	0.000	0.000	0.643	0.000	0.000
knowledge_bergen_belsen	0.189	0.132	0.221	0.218	0.172	0.261	1.000	0.526	0.482	0.522	0.157	0.158	0.118	0.383	0.091	0.225	0.332	0.000	0.000	0.180	0.128	0.117	0.124	0.479	0.220	0.200	0.108	0.233	0.136	0.155
knowledge_other_persecuted_groups	0.013	0.000	0.142	0.139	0.125	0.112	0.526	1.000	0.687	0.704	0.168	0.101	0.324	0.000	0.000	0.241	0.346	0.118	0.154	0.160	0.162	0.133	0.209	0.454	0.125	0.000	0.101	0.240	0.172	0.196
knowledge_persecuted_jews	0.000	0.077	0.219	0.131	0.089	0.155	0.482	0.687	1.000	0.653	0.076	0.148	0.476	0.511	0.131	0.189	0.311	0.000	0.000	0.046	0.194	0.178	0.148	0.439	0.179	0.015	0.142	0.231	0.074	0.119
knowledge_ww2	0.108	0.143	0.152	0.152	0.143	0.120	0.522	0.704	0.653	1.000	0.078	0.083	0.424	0.000	0.234	0.189	0.349	0.000	0.056	0.042	0.167	0.169	0.162	0.486	0.128	0.000	0.152	0.209	0.089	0.107
left_weak_impression	0.104	0.000	0.000	0.000	0.000	0.000	0.157	0.168	0.076	0.078	1.000	0.000	0.000	0.000	0.000	0.483	0.123	0.000	0.314	0.506	0.000	0.000	0.000	0.261	0.000	0.000	0.058	0.452	0.801	0.426
lost_track_of_time	0.000	0.263	0.831	0.663	0.000	0.734	0.158	0.101	0.148	0.083	0.000	1.000	0.000	1.000	0.000	0.546	0.191	0.015	0.000	0.000	0.000	0.000	0.000	0.400	0.000	0.000	0.074	0.570	0.000	0.000
nationality	0.170	0.356	0.000	0.000	0.499	0.000	0.118	0.324	0.476	0.424	0.000	0.000	1.000	0.488	0.565	0.000	0.000	0.107	0.259	0.000	0.000	0.000	0.000	0.000	0.000	0.329	0.067	0.000	0.185	0.473
personal_connection_details	0.299	0.305	0.000	0.374	0.607	0.000	0.383	0.000	0.511	0.000	0.000	1.000	0.488	1.000	1.000	0.000	0.000	0.298	0.000	0.000	0.000	0.000	0.000	0.250	0.298	0.347	0.000	0.000	0.000	0.000
personal_connection_nazi_history	0.236	0.253	0.000	0.000	0.031	0.000	0.091	0.000	0.131	0.234	0.000	0.000	0.565	1.000	1.000	0.112	0.023	0.067	0.184	0.000	0.139	0.191	0.217	0.151	0.000	0.188	0.052	0.000	0.000	0.140
plan_to_learn_more	0.316	0.093	0.437	0.490	0.000	0.507	0.225	0.241	0.189	0.189	0.483	0.546	0.000	0.000	0.112	1.000	0.186	0.000	0.345	0.375	0.429	0.401	0.453	0.441	0.000	0.000	0.122	0.751	0.494	0.662
political_identity	0.173	0.166	0.213	0.174	0.251	0.261	0.332	0.346	0.311	0.349	0.123	0.191	0.000	0.000	0.023	0.186	1.000	0.197	0.000	0.189	0.108	0.117	0.117	0.387	0.213	0.136	0.166	0.188	0.130	0.168
religious	0.248	0.247	0.000	0.020	0.259	0.000	0.000	0.118	0.000	0.000	0.000	0.015	0.107	0.298	0.067	0.000	0.197	1.000	0.073	0.069	0.079	0.177	0.154	0.082	0.232	0.217	0.090	0.000	0.055	0.000
technologies_used	0.213	0.000	0.000	0.000	0.000	0.000	0.000	0.154	0.000	0.056	0.314	0.000	0.259	0.000	0.184	0.345	0.000	0.073	1.000	0.119	0.195	0.142	0.235	0.103	0.041	0.098	0.165	0.358	0.141	0.382
thought_innovative	0.000	0.122	0.000	0.000	0.000	0.000	0.180	0.160	0.046	0.042	0.506	0.000	0.000	0.000	0.000	0.375	0.189	0.069	0.119	1.000	0.000	0.000	0.000	0.373	0.000	0.116	0.106	0.333	0.513	0.505
understood_camp_appearance	0.338	0.000	0.000	0.000	0.000	0.000	0.128	0.162	0.194	0.167	0.000	0.000	0.000	0.000	0.139	0.429	0.108	0.079	0.195	0.000	1.000	0.923	0.900	0.477	0.107	0.000	0.070	0.420	0.000	0.000
understood_camp_function	0.353	0.000	0.000	0.000	0.000	0.000	0.117	0.133	0.178	0.169	0.000	0.000	0.000	0.000	0.191	0.401	0.117	0.177	0.142	0.000	0.923	1.000	0.956	0.440	0.121	0.000	0.065	0.422	0.000	0.000
understood_life_in_camp	0.334	0.000	0.000	0.000	0.000	0.000	0.124	0.209	0.148	0.162	0.000	0.000	0.000	0.000	0.217	0.453	0.117	0.154	0.235	0.000	0.900	0.956	1.000	0.487	0.000	0.000	0.000	0.380	0.000	0.000
videogame_frequency	0.154	0.121	0.318	0.417	0.247	0.271	0.479	0.454	0.439	0.486	0.261	0.400	0.000	0.250	0.151	0.441	0.387	0.082	0.103	0.373	0.477	0.440	0.487	1.000	0.243	0.000	0.052	0.312	0.223	0.293
visit_purpose	0.064	0.000	0.000	0.508	0.324	0.099	0.220	0.125	0.179	0.128	0.000	0.000	0.000	0.298	0.000	0.000	0.213	0.232	0.041	0.000	0.107	0.121	0.000	0.243	1.000	0.202	0.142	0.000	0.000	0.000
visit_type	0.434	0.280	0.000	0.000	0.334	0.000	0.200	0.000	0.015	0.000	0.000	0.000	0.329	0.347	0.188	0.000	0.136	0.217	0.098	0.116	0.000	0.000	0.000	0.000	0.202	1.000	0.227	0.000	0.000	0.000
visited_memorial_before	0.277	0.238	0.109	0.116	0.000	0.000	0.108	0.101	0.142	0.152	0.058	0.074	0.067	0.000	0.052	0.122	0.166	0.090	0.165	0.106	0.070	0.065	0.000	0.052	0.142	0.227	1.000	0.108	0.114	0.108
want_to_share_learning	0.298	0.132	0.450	0.444	0.000	0.643	0.233	0.240	0.231	0.209	0.452	0.570	0.000	0.000	0.000	0.751	0.188	0.000	0.358	0.333	0.420	0.422	0.380	0.312	0.000	0.000	0.108	1.000	0.403	0.633
was_boring	0.182	0.000	0.000	0.000	0.000	0.000	0.136	0.172	0.074	0.089	0.801	0.000	0.185	0.000	0.000	0.494	0.130	0.055	0.141	0.513	0.000	0.000	0.000	0.223	0.000	0.000	0.114	0.403	1.000	0.458
was_interesting	0.000	0.130	0.000	0.000	0.000	0.000	0.155	0.196	0.119	0.107	0.426	0.000	0.473	0.000	0.140	0.662	0.168	0.000	0.382	0.505	0.000	0.000	0.000	0.293	0.000	0.000	0.108	0.633	0.458	1.000

Missing values

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

	nationality	gender_identity	age	education_level	visit_type	visit_purpose	religious	political_identity	visited_memorial_before	personal_connection_nazi_history	personal_connection_details	knowledge_ww2	knowledge_bergen_belsen	knowledge_persecuted_jews	knowledge_other_persecuted_groups	known_persecuted_groups_open	technologies_used	videogame_frequency	felt_part_of_activity	involvement_over_irrelevant_thoughts	experienced_activity_feeling	lost_track_of_time	was_interesting	left_weak_impression	was_boring	thought_innovative	understood_camp_appearance	understood_life_in_camp	understood_camp_function	felt_sympathetic_to_victims	impact_on_own_life	impact_on_society	impact_society_details	want_to_share_learning	plan_to_learn_more	additional_feedback	email
1732835511436	NaN	NaN	NaN	NaN	NaN	NaN	NaN	3.Centre	NaN	NaN	NaN	3.Somewhat	3.Somewhat	3.Somewhat	3.Somewhat	NaN	NaN	Invalid	3.Undecided	3.Undecided	3.Undecided	3.Undecided	3.Undecided	3.Undecided	3.Undecided	3.Undecided	3.Undecided	3.Undecided	3.Undecided	3.Undecided	3.Undecided	3.Undecided	NaN	3.Undecided	3.Undecided	NaN	NaN
1732836715570	NaN	NaN	NaN	NaN	NaN	NaN	NaN	3.Centre	NaN	NaN	NaN	3.Somewhat	3.Somewhat	3.Somewhat	3.Somewhat	NaN	NaN	Invalid	3.Undecided	3.Undecided	3.Undecided	3.Undecided	3.Undecided	3.Undecided	3.Undecided	3.Undecided	3.Undecided	3.Undecided	3.Undecided	3.Undecided	3.Undecided	3.Undecided	NaN	3.Undecided	3.Undecided	NaN	NaN
1732837590169	NaN	NaN	NaN	NaN	NaN	NaN	NaN	3.Centre	NaN	NaN	NaN	3.Somewhat	3.Somewhat	3.Somewhat	3.Somewhat	NaN	NaN	Invalid	3.Undecided	3.Undecided	3.Undecided	3.Undecided	3.Undecided	3.Undecided	3.Undecided	3.Undecided	3.Undecided	3.Undecided	3.Undecided	3.Undecided	3.Undecided	3.Undecided	NaN	3.Undecided	3.Undecided	NaN	NaN
1732838671324	NaN	NaN	NaN	NaN	NaN	NaN	NaN	3.Centre	NaN	NaN	NaN	3.Somewhat	3.Somewhat	3.Somewhat	3.Somewhat	NaN	NaN	Invalid	3.Undecided	3.Undecided	3.Undecided	3.Undecided	3.Undecided	3.Undecided	3.Undecided	3.Undecided	3.Undecided	3.Undecided	3.Undecided	3.Undecided	3.Undecided	3.Undecided	NaN	3.Undecided	3.Undecided	NaN	NaN
1732838916442	NaN	NaN	NaN	NaN	NaN	NaN	NaN	3.Centre	NaN	NaN	NaN	3.Somewhat	3.Somewhat	3.Somewhat	3.Somewhat	NaN	NaN	Invalid	3.Undecided	3.Undecided	3.Undecided	3.Undecided	3.Undecided	3.Undecided	3.Undecided	3.Undecided	3.Undecided	3.Undecided	3.Undecided	3.Undecided	3.Undecided	3.Undecided	NaN	3.Undecided	3.Undecided	NaN	NaN
1732843110739	Germany	NaN	NaN	NaN	NaN	NaN	NaN	3.Centre	NaN	NaN	NaN	3.Somewhat	3.Somewhat	3.Somewhat	3.Somewhat	NaN	NaN	Invalid	3.Undecided	3.Undecided	3.Undecided	3.Undecided	3.Undecided	3.Undecided	3.Undecided	3.Undecided	3.Undecided	3.Undecided	3.Undecided	3.Undecided	3.Undecided	3.Undecided	NaN	3.Undecided	3.Undecided	NaN	NaN
1732843414817	NaN	NaN	NaN	NaN	NaN	NaN	NaN	3.Centre	NaN	NaN	NaN	3.Somewhat	3.Somewhat	3.Somewhat	3.Somewhat	NaN	NaN	Invalid	3.Undecided	3.Undecided	3.Undecided	3.Undecided	3.Undecided	3.Undecided	3.Undecided	3.Undecided	3.Undecided	3.Undecided	3.Undecided	3.Undecided	3.Undecided	3.Undecided	NaN	3.Undecided	3.Undecided	NaN	NaN
1732858522286	NaN	NaN	NaN	NaN	NaN	NaN	NaN	3.Centre	NaN	NaN	NaN	3.Somewhat	3.Somewhat	3.Somewhat	3.Somewhat	NaN	NaN	Invalid	3.Undecided	3.Undecided	3.Undecided	3.Undecided	3.Undecided	3.Undecided	3.Undecided	3.Undecided	3.Undecided	3.Undecided	3.Undecided	3.Undecided	3.Undecided	3.Undecided	NaN	3.Undecided	3.Undecided	NaN	NaN
1732871943555	NaN	NaN	NaN	NaN	NaN	NaN	NaN	3.Centre	NaN	NaN	NaN	3.Somewhat	3.Somewhat	3.Somewhat	3.Somewhat	NaN	NaN	Invalid	3.Undecided	3.Undecided	3.Undecided	3.Undecided	3.Undecided	3.Undecided	3.Undecided	3.Undecided	3.Undecided	3.Undecided	3.Undecided	3.Undecided	3.Undecided	3.Undecided	NaN	3.Undecided	3.Undecided	NaN	NaN
1732880094401	NaN	NaN	NaN	NaN	NaN	NaN	NaN	3.Centre	NaN	NaN	NaN	3.Somewhat	3.Somewhat	3.Somewhat	3.Somewhat	NaN	NaN	Invalid	3.Undecided	3.Undecided	3.Undecided	3.Undecided	3.Undecided	3.Undecided	3.Undecided	3.Undecided	3.Undecided	3.Undecided	3.Undecided	3.Undecided	3.Undecided	3.Undecided	NaN	3.Undecided	3.Undecided	NaN	NaN

	nationality	gender_identity	age	education_level	visit_type	visit_purpose	religious	political_identity	visited_memorial_before	personal_connection_nazi_history	personal_connection_details	knowledge_ww2	knowledge_bergen_belsen	knowledge_persecuted_jews	knowledge_other_persecuted_groups	known_persecuted_groups_open	technologies_used	videogame_frequency	felt_part_of_activity	involvement_over_irrelevant_thoughts	experienced_activity_feeling	lost_track_of_time	was_interesting	left_weak_impression	was_boring	thought_innovative	understood_camp_appearance	understood_life_in_camp	understood_camp_function	felt_sympathetic_to_victims	impact_on_own_life	impact_on_society	impact_society_details	want_to_share_learning	plan_to_learn_more	additional_feedback	email
1747128556212	Germany	Male	65–74	Secondary school	As an adult with other adults	To learn more about the history	Yes	5.Far right	No	No	NaN	3.Somewhat	1.Not at all	4.More than average	4.More than average	NaN	NaN	0	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN
1747128869309	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	Invalid	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN
1747208473170	Germany	Female	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	Invalid	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN
1747209305377	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	Invalid	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN
1747210555161	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	Invalid	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN
1747211914955	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	Invalid	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN
1747212433303	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	Invalid	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN
1747213562795	Denmark	Female	65–74	High school	As an adult with other adults	To learn more about the history	Yes	3.Centre	No	no	NaN	4.More than average	3.Somewhat	5.Very much	5.Very much	Jews__Communists__Homosexuals	3D model viewer	0	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN
1747216091129	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	Invalid	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN
1747216282932	Germany	Female	45–54	Bachelor's degree	As an adult with other adults	To learn more about the history	Yes	2.Left of centre	Yes, more than once before	No	NaN	4.More than average	3.Somewhat	5.Very much	5.Very much	Sinti and Roma__Jews__Homosexuals__Political opponents__Social Democrats	Augmented Reality (AR)	0	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN

Duplicate rows

Most frequently occurring

	nationality	gender_identity	age	education_level	visit_type	visit_purpose	religious	political_identity	visited_memorial_before	personal_connection_nazi_history	personal_connection_details	knowledge_ww2	knowledge_bergen_belsen	knowledge_persecuted_jews	knowledge_other_persecuted_groups	known_persecuted_groups_open	technologies_used	videogame_frequency	felt_part_of_activity	involvement_over_irrelevant_thoughts	experienced_activity_feeling	lost_track_of_time	was_interesting	left_weak_impression	was_boring	thought_innovative	understood_camp_appearance	understood_life_in_camp	understood_camp_function	felt_sympathetic_to_victims	impact_on_own_life	impact_on_society	want_to_share_learning	plan_to_learn_more	additional_feedback	email	# duplicates
1	NaN	NaN	NaN	NaN	NaN	NaN	NaN	3.Centre	NaN	NaN	NaN	3.Somewhat	3.Somewhat	3.Somewhat	3.Somewhat	NaN	NaN	Invalid	3.Undecided	3.Undecided	3.Undecided	3.Undecided	3.Undecided	3.Undecided	3.Undecided	3.Undecided	3.Undecided	3.Undecided	3.Undecided	3.Undecided	3.Undecided	3.Undecided	3.Undecided	3.Undecided	NaN	NaN	566
2	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	Invalid	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	135
0	Germany	NaN	NaN	NaN	NaN	NaN	NaN	3.Centre	NaN	NaN	NaN	3.Somewhat	3.Somewhat	3.Somewhat	3.Somewhat	NaN	NaN	Invalid	3.Undecided	3.Undecided	3.Undecided	3.Undecided	3.Undecided	3.Undecided	3.Undecided	3.Undecided	3.Undecided	3.Undecided	3.Undecided	3.Undecided	3.Undecided	3.Undecided	3.Undecided	3.Undecided	NaN	NaN	4

Overview

Variables

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values

Length